Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors

View Sample PDF

Author(s): Farid Bourennani (University of Ontario Institute of Technology, Canada)and Shahryar Rahnamayan (University of Ontario Institute of Technology, Canada)
Copyright: 2012
Pages: 21
Source title: Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications
Source Author(s)/Editor(s): Stefan Smolnik (European Business School (EBS), Germany), Frank Teuteberg (University Osnabrueck, Germany)and Oliver Thomas (Saarland University, Germany)
DOI: 10.4018/978-1-60960-126-3.ch004

Keywords: Business Information Systems / Business Science Reference / Computer Science & IT / Semantic Web

Purchase

View Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors on the publisher's website for pricing and purchasing information.

Abstract

Nowadays, many world-wide universities, research centers, and companies share their own data electronically. Naturally, these data are from heterogeneous types such as text, numerical data, multimedia, and others. From user side, this data should be accessed in a uniform manner, which implies a unified approach for representing and processing data. Furthermore, unified processing of the heterogeneous data types can lead to richer semantic results. In this chapter, we present a unified pre-processing approach that leads to generation of richer semantics of qualitative and quantitative data.

The IRMA Community

Research IRM

Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors

Purchase

Abstract

Related Content

IRMA Sponsors